{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "aa33d7f3",
   "metadata": {},
   "source": [
    "# 实例一"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18b42fd7",
   "metadata": {},
   "source": [
    "商品进价49元，售价75元，现在商场新品上架搞促销活动，顾客每多买一件就给优惠1%,但是每人最多可以购买30件。对于商场而言，活动越火爆商品单价越低，但总收入和盈利越多。对于顾客来说，虽然买的越多单价越低，但是消费总金额却是越来越多。现在要求计算并使用**折线图**可视化\n",
    "- <font color='red'>顾客购买数量num与商家收益、</font>\n",
    "- <font color='red'>顾客总消费</font>\n",
    "    以及\n",
    "- <font color='red'>顾客省钱情况</font>的关系，并标记<font color='red'>商场收益最大的批发数量</font>和<font color='red'>商场收益</font>。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "ad6fb9b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#自备数据源，读取操作\n",
    "#数据源 ./data1/data_sales.csv\n",
    "import pandas as pd\n",
    "data = pd.read_csv(\"./data1/data_sales.csv\")\n",
    "\n",
    "#获取数据\n",
    "#顾客购买数量列表\n",
    "num_items = data['num']\n",
    "# 商家收益列表\n",
    "merchant_profit = data['merchant_profit']\n",
    "#顾客总消费列表\n",
    "customer_spending = data['customer_spending']\n",
    "#顾客省钱情况列表\n",
    "customer_savings = data['customer_savings']\n",
    "\n",
    "#绘制折线图\n",
    "import matplotlib.pyplot as plt\n",
    "#设置中文显示\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号\n",
    "\n",
    "#寻找商家收益最大的数量\n",
    "max_profit_num = num_items[list(merchant_profit).index(max(merchant_profit))]\n",
    "#最大利益\n",
    "max_profit = max(merchant_profit)\n",
    "\n",
    "#可视化数据\n",
    "plt.plot(num_items,merchant_profit,label='Merchant Profit',marker='o')\n",
    "plt.plot(num_items,customer_spending,label='Customer Spending',marker='o')\n",
    "plt.plot(num_items,customer_savings,label='Customer Saving',marker='o')\n",
    "\n",
    "#标记商场收益最大的批发数量和商场收益\n",
    "plt.annotate(f'Max Profit:{max_profit:.2f} at {max_profit_num} items',\n",
    "            xy=(max_profit_num,max_profit),\n",
    "            xytext=(max_profit_num-2,max_profit+600),\n",
    "            arrowprops=dict(facecolor='black',arrowstyle='->'))\n",
    "plt.xlabel(\"商家购买数量\")\n",
    "plt.ylabel(\"价格/元\")\n",
    "plt.title(\"\")\n",
    "plt.legend()\n",
    "# plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d499feab",
   "metadata": {},
   "source": [
    "参数：\n",
    "\n",
    "- '   '为注释文本内容\n",
    "\n",
    "- xy 为被注释的坐标点\n",
    "\n",
    "- xytext 为注释文字的坐标位置\n",
    "- arrowprops #箭头参数,参数类型为字典dict\n",
    "\n",
    "  width：箭头的宽度(以点为单位)\n",
    "  \n",
    "  headwidth：箭头底部以点为单位的宽度\n",
    "  \n",
    "  headlength：箭头的长度(以点为单位)\n",
    "  \n",
    "  shrink：总长度的一部分，从两端“收缩”\n",
    "  \n",
    "  facecolor：箭头颜色"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f11541d4",
   "metadata": {},
   "source": [
    "# 实例二"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b638fa5a",
   "metadata": {},
   "source": [
    "已知学校附件某烧烤店2019年每月的营业额如下表所示。编写程序绘制折线图对该烧烤店全年营业额进行可视化，使用红色点划线连接每月的数据，并在每月的数据处使用三角形标记。（折线图）\n",
    "\n",
    "数据源：monthly_revenue.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73e0ac1f",
   "metadata": {},
   "source": [
    "|月份|1|2|3|4|5|6|7|8|9|10|11|12|\n",
    "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
    "|营业额 | 10000  |12000 |11000|13000 |14000|16000 |17000 |18000 |19000 |20000 |21000 |22000 | \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "997b4c08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#创建数据源\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "data = pd.read_csv(\"./data/monthly_revenue.csv\")\n",
    "money = data['Revenue']#营业额\n",
    "index_list=[x for x in np.arange(1,13)]  #索引\n",
    "data = pd.Series(list,index=index_list)\n",
    "\n",
    "#设置中文显示\n",
    "plt.rcParams['font.sans-serif']=['SimSun']\n",
    "plt.rcParams['axes.unicode_minus']=False\n",
    "#可视化数据\n",
    "plt.plot(index_list,money,'-.',color='red',marker='v',\n",
    "        label='business_month')\n",
    "plt.xlabel(\"月份/月\")\n",
    "plt.ylabel(\"营业额/元\")\n",
    "plt.xticks(index_list)\n",
    "plt.title(\"某烧烤店2019年每月营业额\")\n",
    "#在数据节点显示数据\n",
    "for x,y in zip(index_list,money):\n",
    "    plt.text(x,y+100,y,ha='center',va='bottom',fontsize=10)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1eb5574d",
   "metadata": {},
   "source": [
    "# 实例三"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd645eb8",
   "metadata": {},
   "source": [
    "某商场开业三个月后，有顾客反应商场一楼的手机信号不好，个别收银台有时无法正常使用微信支付或支付宝，商场内也有些位置无法正常使用微信。为此，商场安排工作人员在不同位置对手机信号强度进行测试以便进一步提高服务质量和用户体验，测试数据保存于文件“signalStrength.csv”中，文件中每行使用逗号分隔的三个数字分别表示商场内一个位置的x、y坐标和信号强度，其中x、y坐标值以商场西南角为坐标圆点且向东为x正轴（共150米）、向北为y正轴（共30米），信号强度以0表示无信号、100表示最强。编写程序，使用散点图对该商场一楼所有测量位置的手机信号强度进行可视化，既可以直观地发现不同位置信号的强度以便分析原因，也方便观察测试位置的分布是否合理。在散点图中，使用横轴表示x坐标位置、纵轴表示y坐标位置，不同颜色的深度表示信号的强弱。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "83899662",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#读取数据\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "data = pd.read_csv('./data/signalStrength.csv')\n",
    "x = data['X']\n",
    "y = data['Y']\n",
    "strength = data['strength']\n",
    "\n",
    "#可视化数据\n",
    "plt.scatter(x,y,c=strength,cmap='afmhot_r')\n",
    "plt.xlabel(\"方向/东(米)\")\n",
    "plt.ylabel(\"方向/北(米)\")\n",
    "plt.title(\"手机信号强度分布图\")\n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad57b78f",
   "metadata": {},
   "source": [
    "# 实例四"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e29e0fc6",
   "metadata": {},
   "source": [
    "商场几个部门2022年每个月的业绩。编写程序绘制柱状图可视化各部门的业绩，可以借助于pandas的DataFrame结构快速绘制图形。（营业额单位为万元）（数据源：sales.csv）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "56401f67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>月份</th>\n",
       "      <th>男装</th>\n",
       "      <th>女装</th>\n",
       "      <th>餐饮</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>51</td>\n",
       "      <td>70</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>32</td>\n",
       "      <td>74</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>34</td>\n",
       "      <td>65</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>65</td>\n",
       "      <td>43</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>76</td>\n",
       "      <td>85</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>67</td>\n",
       "      <td>85</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>64</td>\n",
       "      <td>76</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>46</td>\n",
       "      <td>78</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>65</td>\n",
       "      <td>45</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>65</td>\n",
       "      <td>45</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    月份  男装  女装  餐饮\n",
       "0    1  51  70  60\n",
       "1    2  32  74  87\n",
       "2    3  34  65  34\n",
       "3    4  23  45  67\n",
       "4    5  76  76  54\n",
       "5    6  65  43  37\n",
       "6    7  76  85  46\n",
       "7    8  67  85  97\n",
       "8    9  64  76  87\n",
       "9   10  46  78  80\n",
       "10  11  65  45  34\n",
       "11  12  65  45  35"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv('./data/sales.csv',encoding='utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7ee27163",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "data = pd.read_csv('./data/sales.csv',encoding='utf-8')\n",
    "#提取数据\n",
    "months = data['月份']\n",
    "man_cloths = data['男装']\n",
    "woman_cloths = data['女装']\n",
    "food = data['餐饮']\n",
    "\n",
    "#可视化数据\n",
    "width=0.25\n",
    "#绘制每月份的三个部门营业额柱状图\n",
    "plt.bar(months,man_cloths,color='r',width=width,label='男装')\n",
    "plt.bar(months+width,woman_cloths,color='c',width=width,label='女装')\n",
    "plt.bar(months+2*width,food,color='g',width=width,label='餐饮')\n",
    "#设置x轴刻度\n",
    "plt.xticks(months)\n",
    "plt.xlabel(\"月份/月\")\n",
    "plt.ylabel(\"营业额/万元\")\n",
    "plt.title(\"2022年各部门业绩柱状分布图\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b83d8eb6",
   "metadata": {},
   "source": [
    "## 实例五"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c69e96fe",
   "metadata": {},
   "source": [
    "已知某班级的数据结构、线性代数、英语和Python课程考试成绩，要求绘制饼状图显示每门课的成绩中优（85分以上）、及格（60-84分）、不及格（60分以下）的占比。（数据源scores.csv）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "d5508f16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>data_structure</th>\n",
       "      <th>linear_algebra</th>\n",
       "      <th>english</th>\n",
       "      <th>python</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>90</td>\n",
       "      <td>89</td>\n",
       "      <td>56</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>75</td>\n",
       "      <td>57</td>\n",
       "      <td>89</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40</td>\n",
       "      <td>48</td>\n",
       "      <td>80</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>88</td>\n",
       "      <td>45</td>\n",
       "      <td>67</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>95</td>\n",
       "      <td>78</td>\n",
       "      <td>90</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   data_structure  linear_algebra  english  python\n",
       "0              90              89       56      78\n",
       "1              75              57       89      86\n",
       "2              40              48       80      40\n",
       "3              88              45       67      89\n",
       "4              95              78       90      92"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv('data/scores.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "8233033c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#读取数据\n",
    "data=pd.read_csv('data/scores.csv')\n",
    "#自定义一个求占比的函数\n",
    "def proportion(column):\n",
    "    rate = column.apply(lambda x:'优秀' if x>=85\n",
    "                                             else '及格' if 60<=x<85\n",
    "                                             else '不及格').value_counts()\n",
    "    return rate\n",
    "#数据结构\n",
    "data_structure = proportion(data['data_structure'])\n",
    "#线性代数\n",
    "linear_algebra = proportion(data['linear_algebra'])\n",
    "#English                                     \n",
    "english= proportion(data['english'])\n",
    "#python\n",
    "python= proportion(data['python'])\n",
    "\n",
    "#绘制四个子图\n",
    "fig,axes=plt.subplots(2,2)\n",
    "ax1=axes[0,0]\n",
    "ax2=axes[0,1]\n",
    "ax3=axes[1,0]\n",
    "ax4=axes[1,1]\n",
    "#利用面向对象的思想绘图\n",
    "ax1.pie(data_structure,labels=data_structure.index,autopct='%1.1f%%',\n",
    "       explode=[0.1,0,0])\n",
    "ax1.set_title('数据结构')\n",
    "ax2.pie(linear_algebra,labels=linear_algebra.index,autopct='%1.1f%%',\n",
    "       explode=[0,0.1,0],colors=(\"tan\", \"lightsalmon\", \"orange\"))\n",
    "ax2.set_title('线性代数')\n",
    "ax3.pie(english,labels=english.index,autopct='%1.1f%%',\n",
    "       explode=[0.1,0,0],colors=(\"lightcyan\", \"aquamarine\", \"honeydew\"))\n",
    "ax3.set_title('英语')\n",
    "ax4.pie(python,labels=python.index,autopct='%1.1f%%',\n",
    "       explode=[0.1,0,0],colors=(\"lightblue\",\"thistle\", \"lightpink\"))\n",
    "ax4.set_title('python')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "75ceb59b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
